"I decided to approach as many recent AI founders as I could. The goal was not to try to pick winners but to see what it's like, on the ground, to build AI products-how AI tools have changed the nature of their work; how terrifying it is to compete in a crowded field. It all sounded a bit like trying to tap-dance on the roiling surface of the sun."
"When we got on a video call, he spoke with a half-smile and vaguely posh manner as he told me how he's developing pesticides using custom AI models. Bindwell's website once described these models as "insanely fast" and claimed that they could predict, in "mere seconds," the results of experiments that would have taken days. Hearing Anand explain how he's bringing the principles of AI drug discovery to crops, it"
More than 10,000 AI startups operate worldwide, with over 2,000 receiving initial funding in the last year. Founders are building AI products across industries, applying custom models to accelerate experiments and cut days-long processes to seconds. Rapid improvements from major model providers intensify competition and create pressure as public commentary can rapidly reshape startup prospects. Most startups will fail, but large numbers of experiments reveal technological and commercial directions. Young engineers increasingly lead ambitious ventures, and investors deploy billions to fuel a boom that reshapes engineering work, risk profiles, and opportunities across biotech, agriculture, and other sectors.
Read at WIRED
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